Código-fonte desenvolvido para implementação da parte prática referente dissertação apresentada como requisito parcial para a obtenção do grau de Mestre em Ciência da Computação.
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Updated
Feb 7, 2019 - Python
Código-fonte desenvolvido para implementação da parte prática referente dissertação apresentada como requisito parcial para a obtenção do grau de Mestre em Ciência da Computação.
Shopping Recommendation System Algorithm for RAO's Lab
A recommendationn system for movies using Python and machine learning algorithms (k nearest neighbours, logistic regression). numpy. scikit-learn
Model-based recommendation systems involve building a model based on the dataset of ratings. This approach potentially offers the benefits of both speed and scalability. [Source: http://www.cs.carleton.edu/cs_comps/0607/recommend/recommender/modelbased.html]
Full stack machine learning music recommendation app using ALS collaborative filtering, built using Flask and PySpark
2021년 경상북도 데이터 경진대회 | 추천 알고리즘을 이용한 맞춤형 식품 추천 서비스
This project is an web-based smart education system that uses one of three recommendation algorithms to suggest educational content to users. It's built for the Department of Computer Science, University of Benin, Nigeria.
Modélisation d'un base de données Cinenet , sur le modele de TMBD
Python Recommender Lab
Exploration and Implementation of recommendation methodologies.
In this repository I'll be working on various recommendation engine algorithms
Use of Machine Learning techniques to create a recommender system
A collection of documents and programs to learn about recommendation system
All about Data intelligence
This is my projects to get over the course called HarvardX_Capstone.
This is a paper on the overview of filtering algorithms used by recommendation systems.
NearestNeighbors and correlation matrix for book recommendation.
Web App to measure novelty and diversity of Recommender Systems algorithms
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